



'''simple docstring'''






from dataclasses import asdict, dataclass
from typing import Optional

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCAmelCase:   Tuple					=		logging.get_logger(__name__)

# TODO Update this
lowerCAmelCase:   Any					=		{
    "facebook/esm-1b": "https://huggingface.co/facebook/esm-1b/resolve/main/config.json",
    # See all ESM models at https://huggingface.co/models?filter=esm
}

class 				a__(   snake_case__      ):
    lowercase__					=       """esm"""







    def __init__( self					:    Optional[Any]		,     __snake_case					:    List[str]=None		,     __snake_case					:    Tuple=None		,     __snake_case					:    Any=None		,     __snake_case					:    Tuple=7_68		,     __snake_case					:    Any=12		,     __snake_case					:    str=12		,     __snake_case					:    int=30_72		,     __snake_case					:    str=0.1		,     __snake_case					:    int=0.1		,     __snake_case					:    int=10_26		,     __snake_case					:    Optional[Any]=0.02		,     __snake_case					:    Any=1e-1_2		,     __snake_case					:    Dict="absolute"		,     __snake_case					:    str=True		,     __snake_case					:    Tuple=None		,     __snake_case					:    Optional[Any]=False		,     __snake_case					:    Union[str, Any]=False		,     __snake_case					:    List[Any]=None		,     __snake_case					:    List[str]=None		,     **__snake_case					:    List[str]		,     ):
      super().__init__(pad_token_id=__snake_case		,     mask_token_id=__snake_case		,     **__snake_case      )

      a		:   Tuple	  =	vocab_size
      a		:   Any	  =	hidden_size
      a		:   Optional[Any]	  =	num_hidden_layers
      a		:   Optional[int]	  =	num_attention_heads
      a		:   Union[str, Any]	  =	intermediate_size
      a		:   Union[str, Any]	  =	hidden_dropout_prob
      a		:   Optional[int]	  =	attention_probs_dropout_prob
      a		:   List[str]	  =	max_position_embeddings
      a		:   Optional[Any]	  =	initializer_range
      a		:   List[str]	  =	layer_norm_eps
      a		:   Tuple	  =	position_embedding_type
      a		:   str	  =	use_cache
      a		:   Any	  =	emb_layer_norm_before
      a		:   Dict	  =	token_dropout
      a		:   Optional[Any]	  =	is_folding_model
      if is_folding_model:
        if esmfold_config is None:
          logger.info('No esmfold_config supplied for folding model, using default values.'      )
          a		:   Union[str, Any]	  =	EsmFoldConfig()
        elif isinstance(__snake_case		,     __snake_case      ):
          a		:   int	  =	EsmFoldConfig(**__snake_case      )
        a		:   int	  =	esmfold_config
        if vocab_list is None:
          logger.warning('No vocab_list supplied for folding model, assuming the ESM-2 vocabulary!'      )
          a		:   Union[str, Any]	  =	get_default_vocab_list()
        else:
          a		:   Optional[int]	  =	vocab_list
      else:
        a		:   Tuple	  =	None
        a		:   Dict	  =	None
      if self.esmfold_config is not None and getattr(self.esmfold_config		,     'use_esm_attn_map'		,     __snake_case      ):
        raise ValueError('The HuggingFace port of ESMFold does not support use_esm_attn_map at this time!'      )







    def      lowercase_			( self					:    int      ):
      a		:   Optional[Any]	  =	super().to_dict()
      if isinstance(self.esmfold_config		,     __snake_case      ):
        a		:   Optional[Any]	  =	self.esmfold_config.to_dict()
      return output

@dataclass
class 				a__:
    lowercase__					=       None
    lowercase__					=       True
    lowercase__					=       False
    lowercase__					=       False
    lowercase__					=       False
    lowercase__					=       0

    lowercase__					=       True
    lowercase__					=       False

    lowercase__					=       1_28
    lowercase__					=       None







    def      lowercase_			( self					:    int      ):
      if self.trunk is None:
        a		:   Any	  =	TrunkConfig()
      elif isinstance(self.trunk		,     __snake_case      ):
        a		:   Union[str, Any]	  =	TrunkConfig(**self.trunk      )







    def      lowercase_			( self					:    Union[str, Any]      ):
      a		:   int	  =	asdict(self      )
      a		:   Any	  =	self.trunk.to_dict()
      return output

@dataclass
class 				a__:
    lowercase__					=       48
    lowercase__					=       10_24
    lowercase__					=       1_28
    lowercase__					=       32
    lowercase__					=       32
    lowercase__					=       32
    lowercase__					=       0
    lowercase__					=       0
    lowercase__					=       False
    lowercase__					=       4
    lowercase__					=       1_28
    lowercase__					=       None







    def      lowercase_			( self					:    Union[str, Any]      ):
      if self.structure_module is None:
        a		:   Tuple	  =	StructureModuleConfig()
      elif isinstance(self.structure_module		,     __snake_case      ):
        a		:   Any	  =	StructureModuleConfig(**self.structure_module      )

      if self.max_recycles <= 0:
        raise ValueError(F"""`max_recycles` should be positive, got {self.max_recycles}."""      )
      if self.sequence_state_dim % self.sequence_state_dim != 0:
        raise ValueError(
            '`sequence_state_dim` should be a round multiple of `sequence_state_dim`, got'
            F""" {self.sequence_state_dim} and {self.sequence_state_dim}."""      )
      if self.pairwise_state_dim % self.pairwise_state_dim != 0:
        raise ValueError(
            '`pairwise_state_dim` should be a round multiple of `pairwise_state_dim`, got'
            F""" {self.pairwise_state_dim} and {self.pairwise_state_dim}."""      )

      a		:   int	  =	self.sequence_state_dim // self.sequence_head_width
      a		:   str	  =	self.pairwise_state_dim // self.pairwise_head_width

      if self.sequence_state_dim != sequence_num_heads * self.sequence_head_width:
        raise ValueError(
            '`sequence_state_dim` should be equal to `sequence_num_heads * sequence_head_width, got'
            F""" {self.sequence_state_dim} != {sequence_num_heads} * {self.sequence_head_width}."""      )
      if self.pairwise_state_dim != pairwise_num_heads * self.pairwise_head_width:
        raise ValueError(
            '`pairwise_state_dim` should be equal to `pairwise_num_heads * pairwise_head_width, got'
            F""" {self.pairwise_state_dim} != {pairwise_num_heads} * {self.pairwise_head_width}."""      )
      if self.pairwise_state_dim % 2 != 0:
        raise ValueError(F"""`pairwise_state_dim` should be even, got {self.pairwise_state_dim}."""      )

      if self.dropout >= 0.4:
        raise ValueError(F"""`dropout` should not be greater than 0.4, got {self.dropout}."""      )







    def      lowercase_			( self					:    Union[str, Any]      ):
      a		:   Union[str, Any]	  =	asdict(self      )
      a		:   Dict	  =	self.structure_module.to_dict()
      return output

@dataclass
class 				a__:
    lowercase__					=       3_84
    lowercase__					=       1_28
    lowercase__					=       16
    lowercase__					=       1_28
    lowercase__					=       12
    lowercase__					=       4
    lowercase__					=       8
    lowercase__					=       0.1
    lowercase__					=       8
    lowercase__					=       1
    lowercase__					=       2
    lowercase__					=       7
    lowercase__					=       10
    lowercase__					=       1E-8
    lowercase__					=       1E5







    def      lowercase_			( self					:    Union[str, Any]      ):
      return asdict(self      )
def  lowerCamelCase__			(		):
  return (
      "<cls>",
      "<pad>",
      "<eos>",
      "<unk>",
      "L",
      "A",
      "G",
      "V",
      "S",
      "E",
      "R",
      "T",
      "I",
      "D",
      "P",
      "K",
      "Q",
      "N",
      "F",
      "Y",
      "M",
      "H",
      "W",
      "C",
      "X",
      "B",
      "U",
      "Z",
      "O",
      ".",
      "-",
      "<null_1>",
      "<mask>",
  )



class     A__   :







    """simple docstring"""

    def __init__(			self     ,   __snake_case       ):
         snake_case											=							n
         snake_case											=							[None] * self.n
         snake_case											=							0  # index of the first element
         snake_case											=							0
         snake_case											=							0
    def __len__(			self       ):
         return self.size
    def 						a_     (			self       ):
         return self.size == 0
    def 						a_     (			self       ):
         return False if self.is_empty() else self.array[self.front]
    def 						a_     (			self     ,   __snake_case       ):
         if self.size >= self.n:
              raise Exception('''QUEUE IS FULL'''       )

         snake_case											=							data
         snake_case											=							(self.rear + 1) % self.n
         self.size += 1
         return self




    def 						a_     (			self       ):
         if self.size == 0:
              raise Exception('''UNDERFLOW'''       )

         snake_case											=							self.array[self.front]
         snake_case											=							None
         snake_case											=							(self.front + 1) % self.n
         self.size -= 1
         return temp




